shirley1995 Goto Github PK

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shirley1995's Projects

nacos

an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

nasm

A cross-platform x86 assembler with an Intel-like syntax

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

openui

OpenUI let's you describe UI using your imagination, then see it rendered live.

openvoice

Instant voice cloning by MyShell.

poster-design

一款漂亮且功能强大的在线海报设计器，图片编辑器，仿稿定设计，适用于多种场景：海报生成、电商产品图、文章长图、视频/公众号封面等。A beautiful online image designer, suitable for various scenarios like generate posters, making design easier!

pragmatic-drag-and-drop

Fast drag and drop for any experience on any tech stack

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pyvideotrans

Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言，并添加配音

retrieval-based-voice-conversion-webui

Easily train a good VC model with voice data <= 10 mins!

rust

Empowering everyone to build reliable and efficient software.

screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

sentinel

A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)

spring-cloud-alibaba

Spring Cloud Alibaba provides a one-stop solution for application development for the distributed solutions of Alibaba middleware.

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

stablelm

StableLM: Stability AI Language Models

stirling-pdf

#1 Locally hosted web application that allows you to perform various operations on PDF files

swag

Automatically generate RESTful API documentation with Swagger 2.0 for Go.

swe-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.